No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Haohao-end · MCP Server · ★ 75
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MCP Agent Orchestrator The MCP Agent Orchestrator is a professional-grade Python implementation of the Model Context Protocol (MCP). It provides a structured environment for Large Language Models (LLMs) to interact with external tools and knowledge bases through a standardized communication layer. The project utilizes for server-side tool definitions and an asynchronous client-side bridge to OpenAI-compatible interfaces. System Architecture The project follows a decoupled client-server architecture: MCP Client: Acts as the orchestrator. It manages the lifecycle of the MCP server, performs tool discovery, handles LLM completions, and executes tool calls returned by the model. MCP Servers: Independent services (Weather, RAG) that expose specific functions to the client via the Model Context Protocol. Transport Layer: Uses Standard Input/Output (StdIO) for high-performance, local inter-process communication. Core Components Intelligent Client Bridge The client implementation (, ) facilitates: Asynchronous lifecycle management using . Automatic tool schema conversion for OpenAI-compatible function calling. Persistent conversation state and multi-turn reasoning loops.
| Stars | 75 |
| Forks | 17 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 71.7632007424186/100 |
| Last Updated | 2026-07-04 |
| Created | 2025-02-24 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~14k |
These tools work well together with mcp-agent for enhanced workflows:
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mcp-agent is A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data. It is categorized as a MCP Server with 75 GitHub stars.
mcp-agent is primarily written in Python. It covers topics such as graph-rag, llm, mcp.
You can find installation instructions and usage details in the mcp-agent GitHub repository at github.com/Haohao-end/mcp-agent. The project has 75 stars and 17 forks, indicating an active community.
The top alternatives to mcp-agent on Agent Skills Hub include zettelkasten-mcp, youtube-connector-mcp, Kwipu. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.